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SBC: STOCHASTECH CORPORATION Topic: N15AT006
This Phase II effort aims to deliver robust, reliable software that instantiates state-of-the-art feedback pseudospectral optimal control algorithms for flight trajectory optimization. The computation and real-time implementation of controls in nonlinear systems remains one of the great challenges for applying optimal control theory in demanding aerospace and industrial systems. From proportional ...STTR Phase II 2017 Department of DefenseNavy
SBC: Systems Technology, Inc. Topic: N15AT006
The pseudospectral optimal control (PSOC) problem is used for rapid trajectory optimization and provides the ability to re-optimize during flight. This technology was implemented on a Navy-relevant mission, and pseudo-real-time operation was demonstrated. The technical readiness level at the end of the Phase I program is a concept that has been shown to be feasible using analysis and simulation. T ...STTR Phase II 2017 Department of DefenseNavy
SBC: NGIMAT, LLC Topic: N15AT010
In this Phase II STTR effort, nGimat will partner with the University of Kentucky (UK) and 3M/Ceradyne to continue development of W-scandate cathode composite materials. Compared to conventional M-type cathodes, these composite scandate nanomaterials will enable longer cathode lifetime by lowering the required operating temperature. nGimat is an established and successful powder manufacturing comp ...STTR Phase II 2017 Department of DefenseNavy
SBC: Vacuum Process Engineering, Inc. Topic: N15AT010
Vacuum Process Engineering, Inc. (VPE), in collaboration with the University of California, Davis (UC Davis), proposes to develop and quantitatively verify a large scale production process for scandate tungsten nanocomposite powder to be used in high current density and long life cathodes during the Phase II effort. The plan for implementation of the large scale production process at VPE with powd ...STTR Phase II 2017 Department of DefenseNavy
SBC: Metrum Research Group LLC Topic: N16AT016
We are developing a platform for pharmacometric data analysis workflow that is much more flexible and efficient than anything else on the market. This will be accomplished by (1) developing new functions within Stan, a widely used, open-source, probabilistic programming language and Bayesian inference engine, for computationally efficient data analysis using complex differential equation models, ( ...STTR Phase II 2017 Department of DefenseNavy
SBC: Space Information Laboratories, LLC Topic: N15AT001
An advanced Li-Ion Battery Management System for DOD mission and safety critical platforms. The majority of Li-Ion Battery Management Systems (BMS) for DoD aircraft, helicopter, and directed energy weapons are custom designs for the individual Aerospace platform. This leads to increased cost over the battery life cycle due to the requirement to maintain the production facilities which produce repl ...STTR Phase II 2017 Department of DefenseNavy
SBC: TOYON RESEARCH CORPORATION Topic: N18BT030
We propose to develop an innovative open architecture for the semi-autonomous command and control (C2) of teaming Unmanned Aircraft Systems (UAS). The proposed architecture, based upon Toyon’s Decentralized Asset Management system, supports both centralized and decentralized fusion and control autonomy solutions as well as hybrids approaches. Leveraging STANAG-4586, TCP/IP, UPD, Google™ protob ...STTR Phase I 2019 Department of DefenseNavy
Blending Classical Model-Based Target Classification and Identification Approaches with Data-Driven Artificial IntelligenceSBC: TOYON RESEARCH CORPORATION Topic: N18BT033
Toyon Research Corp. and the University of California propose to develop innovative algorithms to perform automatic target recognition (ATR), localization, and classification of maritime and land targets in EO/IR, LiDAR, and SAR imagery. The proposed algorithms are based on recent developments made at the University of California, which outline a strong mathematical framework for naturally blendin ...STTR Phase I 2019 Department of DefenseNavy
SBC: Epirus, Inc. Topic: N19AT001
Epirus presents a high powered microwave source that leverages ultra high power density solid state materials, called Leonidas, to meet all of the government’s objectives for the vehicle stop and vessel stop mission. The Leonidas unit has already achieved over 10 kW of effective radiated power (ERP) in laboratory tests using software definable solid state technology and we show how this scales t ...STTR Phase I 2019 Department of DefenseNavy
SBC: GCAS, Inc. Topic: N19AT002
This proposal describes the use of machine learning, data mining and Bayesian inference algorithms for incorporation into a surveillance aircraft cognitive radar system. The need for incorporation of higher-order uncertainty distributions will also be assessed. This will result in enhanced sensor resource management capability for surveillance aircraft radar.STTR Phase I 2019 Department of DefenseNavy